{"id":"https://openalex.org/W4391417118","doi":"https://doi.org/10.1145/3613905.3651029","title":"LaMI: Large Language Models for Multi-Modal Human-Robot Interaction","display_name":"LaMI: Large Language Models for Multi-Modal Human-Robot Interaction","publication_year":2024,"publication_date":"2024-05-02","ids":{"openalex":"https://openalex.org/W4391417118","doi":"https://doi.org/10.1145/3613905.3651029"},"language":"en","primary_location":{"id":"doi:10.1145/3613905.3651029","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3651029","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3651029","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3651029","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045321143","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-1913-2524"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1913-2524","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014423376","display_name":"Stephan Hasler","orcid":"https://orcid.org/0000-0002-3690-3223"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Hasler","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3690-3223","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073193182","display_name":"Daniel Tanneberg","orcid":"https://orcid.org/0000-0002-1363-7970"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Tanneberg","raw_affiliation_strings":["Honda Research Institute EU, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1363-7970","affiliations":[{"raw_affiliation_string":"Honda Research Institute EU, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054476100","display_name":"Felix Ocker","orcid":"https://orcid.org/0000-0002-5320-2525"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Ocker","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5320-2525","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042767682","display_name":"Frank Joublin","orcid":"https://orcid.org/0000-0002-4421-1737"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Joublin","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4421-1737","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013904419","display_name":"Antonello Ceravola","orcid":"https://orcid.org/0000-0002-1075-459X"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antonello Ceravola","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1075-459X","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058856575","display_name":"Joerg Deigmoeller","orcid":"https://orcid.org/0009-0007-5931-6973"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joerg Deigmoeller","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0009-0007-5931-6973","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025560073","display_name":"Michael Gienger","orcid":"https://orcid.org/0000-0001-8036-2519"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Gienger","raw_affiliation_strings":["Honda Research Institute Europe, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8036-2519","affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5045321143"],"corresponding_institution_ids":["https://openalex.org/I4210112253"],"apc_list":null,"apc_paid":null,"fwci":20.4351,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.99529324,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9343000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9210000038146973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6650412082672119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381757616996765},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5326516032218933},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.44141528010368347},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37133854627609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3698274791240692},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36334747076034546},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3505590260028839},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10188823938369751},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06129041314125061}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6650412082672119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381757616996765},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5326516032218933},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.44141528010368347},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37133854627609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3698274791240692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36334747076034546},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3505590260028839},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10188823938369751},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06129041314125061},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3613905.3651029","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3651029","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3651029","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2401.15174","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.15174","pdf_url":"https://arxiv.org/pdf/2401.15174","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3613905.3651029","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3651029","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3651029","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391417118.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W14011730","https://openalex.org/W1521597329","https://openalex.org/W1851213814","https://openalex.org/W1987882570","https://openalex.org/W2050760078","https://openalex.org/W2153457831","https://openalex.org/W2191285365","https://openalex.org/W3009350896","https://openalex.org/W3135194167","https://openalex.org/W4221143046","https://openalex.org/W4378746725","https://openalex.org/W4379054524","https://openalex.org/W4383046944","https://openalex.org/W4387995158","https://openalex.org/W4389665836"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"This":[0,117],"paper":[1],"presents":[2],"an":[3,134],"innovative":[4],"large":[5],"language":[6],"model":[7],"(LLM)-based":[8],"robotic":[9],"system":[10,37],"for":[11,24],"enhancing":[12],"multi-modal":[13,80,115],"human-robot":[14],"interaction":[15],"(HRI).":[16],"Traditional":[17],"HRI":[18,124],"systems":[19],"relied":[20],"on":[21,70],"complex":[22],"designs":[23],"intent":[25],"estimation,":[26],"reasoning,":[27],"and":[28,40,57,63,82,106,137],"behavior":[29,45],"generation,":[30],"which":[31],"were":[32],"resource-intensive.":[33],"In":[34],"contrast,":[35],"our":[36],"empowers":[38],"researchers":[39],"practitioners":[41],"to":[42,79,89,112,122,133],"regulate":[43],"robot":[44,60],"through":[46],"three":[47],"key":[48],"aspects:":[49],"providing":[50],"high-level":[51],"linguistic":[52],"guidance,":[53],"creating":[54],"\"atomic":[55],"actions\"":[56],"expressions":[58],"the":[59,84,102,119],"can":[61,142],"use,":[62],"offering":[64],"a":[65,71],"set":[66],"of":[67,87],"examples.":[68],"Implemented":[69],"physical":[72],"robot,":[73],"it":[74,100],"demonstrates":[75],"proficiency":[76],"in":[77],"adapting":[78],"inputs":[81],"determining":[83],"appropriate":[85],"manner":[86],"action":[88],"assist":[90],"humans":[91],"with":[92,109],"its":[93],"arms,":[94],"following":[95],"researchers\u2019":[96],"defined":[97],"guidelines.":[98],"Simultaneously,":[99],"coordinates":[101],"robot\u2019s":[103],"lid,":[104],"neck,":[105],"ear":[107],"movements":[108],"speech":[110],"output":[111],"produce":[113],"dynamic,":[114],"expressions.":[116],"showcases":[118],"system\u2019s":[120],"potential":[121],"revolutionize":[123],"by":[125],"shifting":[126],"from":[127],"conventional,":[128],"manual":[129],"state-and-flow":[130],"design":[131],"methods":[132],"intuitive,":[135],"guidance-based,":[136],"example-driven":[138],"approach.":[139],"Supplementary":[140],"material":[141],"be":[143],"found":[144],"at":[145],"https://hri-eu.github.io/Lami/":[146]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":8}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}